Kei Majima

Last updated: Nov 28, 2019 at 14:29

Name	Kei Majima
Nickname	majima
E-mail	majimai.kyoto-u.ac.jp
URL	http://hawaii.naist.jp/~kei-m/English.html
Affiliation	Kyoto University
ORCID ID	0000-0002-2405-4113

Research Interests

Machine learning(458) , fMRI(124) , Electrocorticography (ECoG)(1) , Brain decoding(3)

Research Areas

Brain sciences / Brain biometrics / Computational neuroscience, neural decoding,

Academic & Professional Experience

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Apr 2011

Mar 2014

JSPS research fellow

Apr 2014

Aug 2015

Researcher, ATR computational Neuroscience Laboratory　

Awards & Honors

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Mar 2011

NAIST Best Student Award, NAIST Foundation

Published Papers

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Deep image reconstruction from human brain activity.

Shen G, Horikawa T, Majima K, Kamitani Y

PLoS computational biology 15(1) e1006633 Jan 2019 [Refereed]

End-to-End Deep Image Reconstruction From Human Brain Activity.

Shen G, Dwivedi K, Majima K, Horikawa T, Kamitani Y

Frontiers in computational neuroscience 13 21 2019 [Refereed]

Heterogeneous Redistribution of Facial Subcategory Information Within and Outside the Face-Selective Domain in Primate Inferior Temporal Cortex.

Miyakawa N, Majima K, Sawahata H, Kawasaki K, Matsuo T, Kotake N, Suzuki T, Kamitani Y, Hasegawa I

Cerebral cortex (New York, N.Y. : 1991) 28(4) 1416-1431 Apr 2018 [Refereed]

Sparse Ordinal Logistic Regression and Its Application to Brain Decoding.

Satake E, Majima K, Aoki SC, Kamitani Y

Frontiers in neuroinformatics 12 51 2018 [Refereed]

Position Information Encoded by Population Activity in Hierarchical Visual Areas.

Majima K, Sukhanov P, Horikawa T, Kamitani Y

eNeuro 4(2) Mar 2017 [Refereed]

Misc

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Quantum-inspired canonical correlation analysis for exponentially large dimensional data

Naoko Koide-Majima, Kei Majima

Jul 2019

Canonical correlation analysis (CCA) is a technique to find statistical
dependencies between a pair of multivariate data. However, its application to
high dimensional data is limited due to the resulting time complexity. While
the conventional CCA...

End-to-end deep image reconstruction from human brain activity

Guohua Shen, Kshitij Dwivedi, Kei Majima, Tomoyasu Horikawa, Yukiyasu Kamitani

bioRxiv preprint 2018

Python & MATLAB implementation of sparse ordinal logistic regression (SOLR)

Kei Majima

2017

Sparse ordinal logistic regression and its application to brain decoding

Emi Satake, Kei Majima, Shuntaro Aoki, Yukiyasu Kamitani

bioRxiv preprint 2017

Deep image reconstruction from human brain activity

Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani

bioRxiv preprint 2017

Conference Activities & Talks

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Machine learning for high-dimensional big data [Invited]

Kei Majima

RIKEN workshop Theory towards Brains, Machines and Minds 15 Oct 2019

Deep Image Reconstruction from Human Brain Activity

Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani

Cognitive Computational Neuroscience (CCN) 2017 Sep 2017

Neural decoding of visual object categories using temporal patterns of ECoG signals.

Kei Majima, Takeshi Matsuo, Keisuke Kawasaki, Kensuke Kawai, Hiroshi Masuda, Naoto Kunii, Hiroatsu Murakami, Kyousuke Kamada, Shigeki Kameyama, Nobuhito Saito, Isao Hasegawa, Yukiyasu Kamitani

Society for Neuroscience Nov 2010